Evidence map›Paper›PMID 32367530›Full record

ArticleMagnetic resonance in medicine2020

Correction of motion-induced susceptibility artifacts and B

Mingming Wu, Hendrik T Mulder, Paul Baron, Eduardo Coello, Marion I Menzel, Gerard C van Rhoon, Axel Haase

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Technical advances in motion-robust MR thermometry.Magnetic resonance in medicine · 2024
    Review
  7. Article
  8. Rectal MRI Interpretation After Neoadjuvant Therapy.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  9. Article
  10. Article
  11. Phase-independent thermometry by Z-spectrum MR imaging.Magnetic resonance in medicine · 2022
    Article
  12. Article
  13. Review
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mingming WuMunich School of Bioengineering, TUM Department of Physics, Technical University of Munich, Garching, Germany.ORCID 0000-0002-8593-7091
Hendrik T MulderErasmus MC Cancer Institute, Rotterdam, the Netherlands.ORCID 0000-0003-2165-8840
Paul BaronErasmus MC Cancer Institute, Rotterdam, the Netherlands.
Eduardo CoelloMunich School of Bioengineering, TUM Department of Physics, Technical University of Munich, Garching, Germany.ORCID 0000-0002-1240-3507
Marion I MenzelGE Healthcare, Munich, Germany.ORCID 0000-0003-0087-9134
Gerard C van RhoonErasmus MC Cancer Institute, Rotterdam, the Netherlands.ORCID 0000-0002-7365-5783
Axel HaaseMunich School of Bioengineering, TUM Department of Physics, Technical University of Munich, Garching, Germany.ORCID 0000-0001-5588-3742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe linear change of the water proton resonance frequency shift (PRFS) with temperature is used to monitor temperature change based on the temporal difference of image phase. Here, the effect of motion-induced susceptibility artifacts on the phase difference was studied in the context of mild radio frequency hyperthermia in the pelvis.

methodsFirst, the respiratory-induced field variations were disentangled from digestive gas motion in the pelvis. The projection onto dipole fields (PDF) as well as the Laplacian boundary value (LBV) algorithm were applied on the phase difference data to eliminate motion-induced susceptibility artifacts. Both background field removal (BFR) algorithms were studied using simulations of susceptibility artifacts, a phantom heating experiment, and volunteer and patient heating data.

resultsRespiratory-induced field variations were negligible in the presence of the filled water bolus. Even though LBV and PDF showed comparable results for most data, LBV seemed more robust in our data sets. Some data sets suggested that PDF tends to overestimate the background field, thus removing phase attributed to temperature. The BFR methods even corrected for susceptibility variations induced by a subvoxel displacement of the phantom. The method yielded successful artifact correction in 2 out of 4 patient treatment data sets during the entire treatment duration of mild RF heating of cervical cancer. The heating pattern corresponded well with temperature probe data.

conclusionThe application of background field removal methods in PRFS-based MR thermometry has great potential in various heating applications and body regions to reduce motion-induced susceptibility artifacts that originate outside the region of interest, while conserving temperature-induced PRFS. In addition, BFR automatically removes up to a first-order spatial B

Indexed as

ArtifactsThermometryHumansMagnetic Resonance ImagingPelvisProtonsProtonsB0 driftbackground field removalhyperthermiamotionMR thermometrysusceptibility

Identifiers

PMID32367530
PMCPMC7402020

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.